How to use

AbstractHDBSCAN

in

de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical

@Override
public TypeInformation[] getInputTypeRestriction() {
 return TypeUtil.array(getDistanceFunction().getInputTypeRestriction());
}

/**
 * Compute the core distances for all objects.
 *
 * @param ids Objects
 * @param knnQ kNN query
 * @param minPts Minimum neighborhood size
 * @return Data store with core distances
 */
protected WritableDoubleDataStore computeCoreDists(DBIDs ids, KNNQuery<O> knnQ, int minPts) {
 final Logging LOG = getLogger();
 final WritableDoubleDataStore coredists = DataStoreUtil.makeDoubleStorage(ids, DataStoreFactory.HINT_HOT | DataStoreFactory.HINT_DB);
 FiniteProgress cprog = LOG.isVerbose() ? new FiniteProgress("Computing core sizes", ids.size(), LOG) : null;
 for(DBIDIter iter = ids.iter(); iter.valid(); iter.advance()) {
  coredists.put(iter, knnQ.getKNNForDBID(iter, minPts).getKNNDistance());
  LOG.incrementProcessed(cprog);
 }
 LOG.ensureCompleted(cprog);
 return coredists;
}

/**
 * Compute the core distances for all objects.
 *
 * @param ids Objects
 * @param knnQ kNN query
 * @param minPts Minimum neighborhood size
 * @return Data store with core distances
 */
protected WritableDoubleDataStore computeCoreDists(DBIDs ids, KNNQuery<O> knnQ, int minPts) {
 final Logging LOG = getLogger();
 final WritableDoubleDataStore coredists = DataStoreUtil.makeDoubleStorage(ids, DataStoreFactory.HINT_HOT | DataStoreFactory.HINT_DB);
 FiniteProgress cprog = LOG.isVerbose() ? new FiniteProgress("Computing core sizes", ids.size(), LOG) : null;
 for(DBIDIter iter = ids.iter(); iter.valid(); iter.advance()) {
  coredists.put(iter, knnQ.getKNNForDBID(iter, minPts).getKNNDistance());
  LOG.incrementProcessed(cprog);
 }
 LOG.ensureCompleted(cprog);
 return coredists;
}

/**
 * Compute the core distances for all objects.
 *
 * @param ids Objects
 * @param knnQ kNN query
 * @param minPts Minimum neighborhood size
 * @return Data store with core distances
 */
protected WritableDoubleDataStore computeCoreDists(DBIDs ids, KNNQuery<O> knnQ, int minPts) {
 final Logging LOG = getLogger();
 final WritableDoubleDataStore coredists = DataStoreUtil.makeDoubleStorage(ids, DataStoreFactory.HINT_HOT | DataStoreFactory.HINT_DB);
 FiniteProgress cprog = LOG.isVerbose() ? new FiniteProgress("Computing core sizes", ids.size(), LOG) : null;
 for(DBIDIter iter = ids.iter(); iter.valid(); iter.advance()) {
  coredists.put(iter, knnQ.getKNNForDBID(iter, minPts).getKNNDistance());
  LOG.incrementProcessed(cprog);
 }
 LOG.ensureCompleted(cprog);
 return coredists;
}

@Override
public TypeInformation[] getInputTypeRestriction() {
 return TypeUtil.array(getDistanceFunction().getInputTypeRestriction());
}

final Logging LOG = getLogger();

@Override
public TypeInformation[] getInputTypeRestriction() {
 return TypeUtil.array(getDistanceFunction().getInputTypeRestriction());
}

final Logging LOG = getLogger();

final Logging LOG = getLogger();